duanshixinhao

支持向量机 这是我的老师编写的matlab源文件 希望对大家有用(Support Vector Machine This is my teacher, matlab source document prepared for the U.S. hope that useful)

Parity space的故障诊断工具箱(Parity space troubleshooting toolkit)

说明：  MATLAB+程序设计与应用_刘卫国 全面系统介绍MATLAB程序设计的方法和相关领域应用(MATLAB+ program design and application of comprehensive and systematic description _ Liu Weiguo MATLAB programming and related areas of application of the method)

............... A BAI4- Nonlinear Process ..................................................................................................................

可以动态调节运行环境的参数，能量谱分析计算,包括回归分析和概率统计。( Can dynamically adjust the parameters of the operating environment, Energy spectrum analysis and calculation, Including regression analysis and probability and statistics.)

说明：  上传的是matlab和c的混合编程视频，希望大家能够喜欢。(Upload the matlab and c mixed programming video, hope that we can enjoy.)

说明：  使用MATLAB进行时间序列分析及建模与预报(Time series analysis and modeling and forecasting)

超宽带信号中高斯脉冲和冲击脉冲的产生，以及脉冲位置调制（PPM)和脉冲幅度调制(PAM)，形成一个完整的电路来完成整个过程(UWB signal in the Gaussian pulse and impulse generation, and pulse position modulation (PPM) and pulse amplitude modulation (PAM), to form a complete circuit to complete the whole process)

实现低通滤波器，可以与PRony分析搭配使用，滤除信号中的高频分量。(Low-pass filter used in conjunction with the PRony analysis to filter out high frequency components in the signal.)

地震资料 数据处理 分频去噪 模块 主要压制随机噪音 异常振幅 野值 大值 方法特点：1 针对性强，主要去除随机噪音；2 随机噪音识别能力强，达到了较高的去噪水平；3 具有自适应性，能根据不同位置的不同特点统计识别噪音；4 振幅保真，对有效信号的保护性好；5 操作者可根据经验选择参数组合灵活去噪，达到较好的结果。 应用对比：为了展示本模块的去噪效果，所选取的对比对象是某知名成熟商业软件的分频去噪模块，其去噪效果在当前诸多成熟软件模块中是佼佼者，在地震资料处理界具有很好的口碑。 通过对比，说明本模块：1 针对性强，主要去除随机噪音和异常振幅等。2 随机噪音识别能力强，达到了较高的去噪水平。3 具有自适应性，能根据不同位置的不同特点统计识别噪音。4 振幅保真，对有效信号的保护性好。5 操作者可根据经验选择参数组合灵活去噪，达到较好的结果。(Frequency-dependent noise attenuation seismic data, processing module, is mainly to suppress random noise, denoising abnormal/large amplitude values Method of characteristics: 1 targeted, mainly to remove random noise 2 random noise and strong ability to identify , reach a higher level of de-noising 3 is adaptive , able to identify the noise statistics according to the different characteristics of different positions 4 amplitude fidelity , the effective protection of the signal is good 5 denoising operator flexibility to select the combination of parameters according to the experience , to achieve better results . Application contrast: To demonstrate the effect of the de-noising module , the selected object is a well-known comparative commercial software divide mature noising module de-noising effect is the current leader in many mature software module in seismic data processing industry has a good reputation. By contrast, the description of the module : a targeted, mai)